RRepoGEO

REPOGEO REPORT · LITE

awslabs/data-on-eks

Default branch main · commit db9b4443 · scanned 6/5/2026, 5:51:50 AM

GitHub: 847 stars · 296 forks

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface awslabs/data-on-eks, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README opening to emphasize "optimized blueprints for data platforms on EKS"

    Why:

    CURRENT
    # Data on Amazon EKS (DoEKS)
_(Pronounced: "Do.eks")_
> 💡 **Optimized Blueprints for Running Scalable Data Workloads on Kubernetes with Amazon EKS## 🔗 Quick Access

| Workload Type | Repository | Website |
||||
| 📊 **Data on EKS (This Repo)** | github.com/awslabs/data-on-eks | awslabs.github.io/data-on-eks |
| 🤖 **AI on EKS (AI/ML Blueprints)** | github.com/awslabs/ai-on-eks | awslabs.github.io/ai-on-eks |

### Build, Scale, and Optimize Data Platforms on Amazon EKS 🚀

Welcome to **Data on EKS**, your launchpad for deploying **data platforms at scale** on Amazon EKS.
    COPY-PASTE FIX
    # Data on Amazon EKS (DoEKS)
_(Pronounced: "Do.eks")_

Welcome to **Data on EKS**, your launchpad for deploying **optimized blueprints and scalable data platforms** on Amazon EKS. We provide **reference architectures and practical examples** for running diverse data workloads (Apache Spark, Flink, Kafka, ML) on Kubernetes with Amazon EKS, integrating with AWS Data Analytics managed services.

> 💡 **Optimized Blueprints for Running Scalable Data Workloads on Kubernetes with Amazon EKS**

## 🔗 Quick Access

| Workload Type | Repository | Website |
||||
| 📊 **Data on EKS (This Repo)** | github.com/awslabs/data-on-eks | awslabs.github.io/data-on-eks |
| 🤖 **AI on EKS (AI/ML Blueprints)** | github.com/awslabs/ai-on-eks | awslabs.github.io/ai-on-eks |

### Build, Scale, and Optimize Data Platforms on Amazon EKS 🚀
  • mediumabout#2
    Enhance the "About" description to highlight blueprints and specific data workloads

    Why:

    CURRENT
    DoEKS is a tool to build, deploy and scale Data Platforms on Amazon EKS
    COPY-PASTE FIX
    Optimized blueprints and reference architectures to build, deploy, and scale diverse Data Platforms (Apache Spark, Flink, Kafka, ML) on Amazon EKS.
  • lowreadme#3
    Add a section clarifying DoEKS's relationship with individual data tools

    Why:

    COPY-PASTE FIX
    ## DoEKS and the Data Ecosystem

DoEKS provides optimized blueprints and reference architectures to deploy and manage various data tools like Apache Spark, Flink, Kafka, Kubeflow, and Ray on Amazon EKS. We focus on the integration, scalability, and operational best practices for these tools within an EKS environment, rather than replacing the powerful frameworks themselves.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface awslabs/data-on-eks
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Databricks Lakehouse Platform
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Databricks Lakehouse Platform · recommended 1×
  2. Apache Spark · recommended 1×
  3. Spark Operator · recommended 1×
  4. Confluent Platform · recommended 1×
  5. Apache Kafka · recommended 1×
  • CATEGORY QUERY
    Need a solution to build and deploy scalable data platforms on Kubernetes.
    you: not recommended
    AI recommended (in order):
    1. Databricks Lakehouse Platform
    2. Apache Spark
    3. Spark Operator
    4. Confluent Platform
    5. Apache Kafka
    6. Confluent for Kubernetes (CFK)
    7. Trino
    8. PrestoSQL
    9. ClickHouse
    10. ClickHouse Operator
    11. PostgreSQL
    12. Crunchy Data PostgreSQL Operator
    13. Zalando Postgres Operator

    AI recommended 13 alternatives but never named awslabs/data-on-eks. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I run distributed data processing and machine learning on a Kubernetes cluster?
    you: not recommended
    AI recommended (in order):
    1. Apache Spark (apache/spark)
    2. Kubeflow (kubeflow/kubeflow)
    3. Ray (ray-project/ray)
    4. Dask (dask/dask)
    5. Apache Flink (apache/flink)
    6. MLflow (mlflow/mlflow)
    7. Argo Workflows (argoproj/argo-workflows)

    AI recommended 7 alternatives but never named awslabs/data-on-eks. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of awslabs/data-on-eks?
    pass
    AI named awslabs/data-on-eks explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts awslabs/data-on-eks in production, what risks or prerequisites should they evaluate first?
    pass
    AI named awslabs/data-on-eks explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo awslabs/data-on-eks solve, and who is the primary audience?
    pass
    AI did not name awslabs/data-on-eks — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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  • Brand-free category queries5 vs 2 in Lite
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